# Research Engineer - Language Model Pre-Training at Zyphra

Research Engineer - Language Model Pre-Training at Zyphra in San Francisco. On-site, full-time. Posted March 17, 2026.

- Company: Zyphra
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-03-17
- Apply: https://jobs.ashbyhq.com/zyphra/3d3620c0-430b-4608-b804-4555459de720/application
- Source: https://jobmagic.ai/jobs/research-engineer-language-model-pre-training-zyphra-96ptap

## Requirements

- Strong engineering aptitude for rapidly implementing reliable and robust systems
- Can rapidly learn new fields and are excited to implement new ideas
- Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

## Description

### **Zyphra** is an artificial intelligence company based in San Francisco, California.

### **The Role:**

As a **Research Engineer - Language Model Pre-Training**, you'll shape our language model roadmap through end-to-end pretraining development. You will work extremely closely with our pretraining team, who will integrate your insights into our next-generation models.

### **You'll Work Across:**

- Large-scale training runs and model parallelization

- Performance optimization of our pretraining stack

- Dataset collection, processing, and evaluation

- Architecture and methodology research, including optimizer ablations

### **What We're Looking For / Requirements: **

- Strong engineering aptitude for rapidly implementing reliable and robust systems

- Can rapidly learn new fields and are excited to implement new ideas

- Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale

### **Qualifications / Additional Skills:**

- Deep expertise and intuition for solving machine learning problems and training models

- Experience with training on large-scale (multi-node) GPU clusters

- Deep understanding of model training pipelines – including model/data parallelism, distributed optimizers, etc.

- Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing

- Understanding of large-scale, highly parallel data processing pipelines

- High proficiency with PyTorch and Python.

- Strong ability to dive into large pre-existing codebases and rapidly get up to speed

- Published machine learning research in well-respected venues is a plus

- Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)

### **Why Work at Zyphra:**

- Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued

- We strongly value new and crazy ideas and are very willing to bet big on new ideas

- We move as quickly as we can; we aim to minimize the bar to impact as low as possible

- We all enjoy what we do and love discussing AI

### **Benefits and Perks:**

- Comprehensive medical, dental, vision, and FSA plans

- Competitive compensation and 401(k) plan

- Relocation and immigration support on a case-by-case basis

- In-office snacks and meals provided

- Unlimited PTO and company holidays

- In-person team in San Francisco with a collaborative, high-energy environment